Triple

T3641428
Position Surface form Disambiguated ID Type / Status
Subject Changping District E77195 entity
Predicate hasChineseName P4878 FINISHED
Object 昌平区 E77195 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 昌平区 | Statement: [Changping District, hasChineseName, 昌平区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 昌平区
Context triple: [Changping District, hasChineseName, 昌平区]
  • A. Yanqing District
    Yanqing District is a mountainous suburban district of Beijing, China, known for hosting alpine skiing and sliding events during the 2022 Winter Olympics.
  • B. Changping District chosen
    Changping District is a suburban district in the northern part of Beijing, China, known for its historical sites and scenic mountainous landscapes.
  • C. Daxing District
    Daxing District is a rapidly developing suburban district in southern Beijing, China, known for hosting the major Beijing Daxing International Airport and large-scale urban expansion.
  • D. Phú Xuyên District
    Phú Xuyên District is a rural administrative district located on the southern outskirts of Hanoi, Vietnam, known for traditional craft villages and agriculture.
  • E. Gia Lâm District
    Gia Lâm District is an administrative district on the eastern outskirts of Hanoi, Vietnam, known for its mix of rapidly urbanizing areas and traditional rural communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc357c3308190bd8801d68244a53e completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f2e464881909d62dd2fad811a83 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:24 p.m.